2,534 research outputs found

    The Disjoint Domination Game

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    We introduce and study a Maker-Breaker type game in which the issue is to create or avoid two disjoint dominating sets in graphs without isolated vertices. We prove that the maker has a winning strategy on all connected graphs if the game is started by the breaker. This implies the same in the (2:1)(2:1) biased game also in the maker-start game. It remains open to characterize the maker-win graphs in the maker-start non-biased game, and to analyze the (a:b)(a:b) biased game for (a:b)(2:1)(a:b)\neq (2:1). For a more restricted variant of the non-biased game we prove that the maker can win on every graph without isolated vertices.Comment: 18 page

    Protecting a Graph with Mobile Guards

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    Mobile guards on the vertices of a graph are used to defend it against attacks on either its vertices or its edges. Various models for this problem have been proposed. In this survey we describe a number of these models with particular attention to the case when the attack sequence is infinitely long and the guards must induce some particular configuration before each attack, such as a dominating set or a vertex cover. Results from the literature concerning the number of guards needed to successfully defend a graph in each of these problems are surveyed.Comment: 29 pages, two figures, surve

    Measuring domination in directed graphs

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    Pareto optimality in house allocation problems

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    We study Pareto optimal matchings in the context of house allocation problems. We present an O(\sqrt{n}m) algorithm, based on Gales Top Trading Cycles Method, for finding a maximum cardinality Pareto optimal matching, where n is the number of agents and m is the total length of the preference lists. By contrast, we show that the problem of finding a minimum cardinality Pareto optimal matching is NP-hard, though approximable within a factor of 2. We then show that there exist Pareto optimal matchings of all sizes between a minimum and maximum cardinality Pareto optimal matching. Finally, we introduce the concept of a signature, which allows us to give a characterization, checkable in linear time, of instances that admit a unique Pareto optimal matching

    Maker-Breaker domination game on trees when Staller wins

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    In the Maker-Breaker domination game played on a graph GG, Dominator's goal is to select a dominating set and Staller's goal is to claim a closed neighborhood of some vertex. We study the cases when Staller can win the game. If Dominator (resp., Staller) starts the game, then γSMB(G)\gamma_{\rm SMB}(G) (resp., γSMB(G)\gamma_{\rm SMB}'(G)) denotes the minimum number of moves Staller needs to win. For every positive integer kk, trees TT with γSMB(T)=k\gamma_{\rm SMB}'(T)=k are characterized. Applying hypergraphs, a general upper bound on γSMB\gamma_{\rm SMB}' is proved. Let S=S(n1,,n)S = S(n_1,\dots, n_\ell) be the subdivided star obtained from the star with nn edges by subdividing its edges n11,,n1n_1-1, \ldots, n_\ell-1 times, respectively. Then γSMB(S)\gamma_{\rm SMB}'(S) is determined in all the cases except when 4\ell\ge 4 and each nin_i is even. The simplest formula is obtained when there are are at least two odd nin_is. If n1n_1 and n2n_2 are the two smallest such numbers, then γSMB(S(n1,,n))=log2(n1+n2+1)\gamma_{\rm SMB}'(S(n_1,\dots, n_\ell))=\lceil \log_2(n_1+n_2+1)\rceil. For caterpillars, exact formulas for γSMB\gamma_{\rm SMB} and for γSMB\gamma_{\rm SMB}' are established

    On the Parameterized Complexity of [1,j]-Domination Problems

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    For a graph G, a set D subseteq V(G) is called a [1,j]-dominating set if every vertex in V(G) setminus D has at least one and at most j neighbors in D. A set D subseteq V(G) is called a [1,j]-total dominating set if every vertex in V(G) has at least one and at most j neighbors in D. In the [1,j]-(Total) Dominating Set problem we are given a graph G and a positive integer k. The objective is to test whether there exists a [1,j]-(total) dominating set of size at most k. The [1,j]-Dominating Set problem is known to be NP-complete, even for restricted classes of graphs such as chordal and planar graphs, but polynomial-time solvable on split graphs. The [1,2]-Total Dominating Set problem is known to be NP-complete, even for bipartite graphs. As both problems generalize the Dominating Set problem, both are W[1]-hard when parameterized by solution size. In this work, we study [1,j]-Dominating Set on sparse graph classes from the perspective of parameterized complexity and prove the following results when the problem is parameterized by solution size: - [1,j]-Dominating Set is W[1]-hard on d-degenerate graphs for d = j + 1; - [1,j]-Dominating Set is FPT on nowhere dense graphs. We also prove that the known algorithm for [1,j]-Dominating Set on split graphs is optimal under the Strong Exponential Time Hypothesis (SETH). Finally, assuming SETH, we provide a lower bound for the running time of any algorithm solving the [1,2]-Total Dominating Set problem parameterized by pathwidth

    Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond

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    Optimal pebbling and rubbling of graphs with given diameter

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    A pebbling move on a graph removes two pebbles from a vertex and adds one pebble to an adjacent vertex. A vertex is reachable from a pebble distribution if it is possible to move a pebble to that vertex using pebbling moves. The optimal pebbling number πopt\pi_{opt} is the smallest number mm needed to guarantee a pebble distribution of mm pebbles from which any vertex is reachable. A rubbling move is similar to a pebbling move, but it can remove the two pebbles from two different vertex. The optimal rubbling number ρopt\rho_{opt} is defined analogously to the optimal pebbling number. In this paper we give lower bounds on both the optimal pebbling and rubbling numbers by the distance kk domination number. With this bound we prove that for each kk there is a graph GG with diameter kk such that ρopt(G)=πopt(G)=2k\rho_{opt}(G)=\pi_{opt}(G)=2^k

    The kk-visibility Localization Game

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    We study a variant of the Localization game in which the cops have limited visibility, along with the corresponding optimization parameter, the kk-visibility localization number ζk\zeta_k, where kk is a non-negative integer. We give bounds on kk-visibility localization numbers related to domination, maximum degree, and isoperimetric inequalities. For all kk, we give a family of trees with unbounded ζk\zeta_k values. Extending results known for the localization number, we show that for k2k\geq 2, every tree contains a subdivision with ζk=1\zeta_k = 1. For many nn, we give the exact value of ζk\zeta_k for the n×nn \times n Cartesian grid graphs, with the remaining cases being one of two values as long as nn is sufficiently large. These examples also illustrate that ζiζj\zeta_i \neq \zeta_j for all distinct choices of ii and $j.
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